Rawson, Andrew, David, Sabeur, Zoheir and Correndo, Gianluca (2019) Spatial challenges of maritime risk analysis using big data. Soares, C. Guedes (ed.) In Proceedings of the 8th International Conference on Collision and Grounding of Ships and Offshore Structures (ICCGS 2019). vol. 4, CRC Press / Balkema. pp. 275-283 .
Abstract
The establishment of incident rates, the number of accidents per unit measurement, can be used to characterise and compare navigational safety between areas. Whilst there are a multitude of factors which influence these rates, such an approach assumes some relationship between traffic volume and incidents. This paper characterises the incident rates across the United Kingdom at different scales of resolution. The results suggest that maritime risk analysis is significantly influenced by the scale effect of the Modifiable Areal Unit Problem. In particular, the chosen spatial resolution has a significant effect on the strength of the relationship. This paper presents the Discrete Global Grid System as a possible method for more effective big data analysis of maritime risk to address these challenges.
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